"Demand that AI proofs also explain, not just assert Mathematicians Emily Riehl and Daniel Litt discussed how AI-generated proofs create a trust problem: unlike human mathematicians, AI tools have no belief or accountability behind what they produce. Litt argued that 'we should demand more of a proof written by an AI than a proof written by a human because we don't have this sort of norm of trust.' Riehl added that 'if an AI gives us a large proof that is difficult to understand, the AI has not finished its job — it should also give us an explanation.' Anyone relying on AI outputs in any field should apply this same standard: an AI answer that cannot be explained or verified should be treated as incomplete, not accepted at face value. Source: Dr. Emily Riehl and Dr. Daniel Litt, Science Friday, AI and the Future of Mathematics"